Instructions to use WhirlwindAI/Translate-25T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhirlwindAI/Translate-25T with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WhirlwindAI/Translate-25T")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WhirlwindAI/Translate-25T") model = AutoModelForSeq2SeqLM.from_pretrained("WhirlwindAI/Translate-25T") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5ecc0a7aedc77f369840a240872f7ea04b942f60d2a8009b7299af91d002ab1
- Size of remote file:
- 4.45 GB
- SHA256:
- 8ffeb7ace51550edaa0d04986ab4cb9c1fcaed2503bc0e748aaf54df166ad8e6
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